代谢组学
疾病
计算生物学
前列腺癌
生物标志物发现
代谢物
仿形(计算机编程)
代谢组
医学
生物信息学
癌症
蛋白质组学
计算机科学
内科学
生物
操作系统
基因
生物化学
作者
Xiaoling Zang,Marı́a Eugenia Monge,Facundo M. Fernández
标识
DOI:10.1016/j.trac.2019.05.030
摘要
Mass spectrometry (MS) plays an important role in seeking biomarkers for disease detection. High-quality quantitative data is needed for accurate analysis of metabolic perturbations in patients. This article describes recent developments in MS-based non-targeted metabolomics research with applications to the detection of several major common human diseases, focusing on study cohorts, MS platforms utilized, statistical analyses and discriminant metabolite identification. Potential disease biomarkers recently discovered for type 2 diabetes, cardiovascular disease, hepatocellular carcinoma, breast cancer and prostate cancer through metabolomics are summarized, and limitations are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI